Wangnian Li , Shipeng Chen , Chengda Lu , Lingfeng Mu , Aoxue Yang , Youzhen Zhang , Haitao Song , Ningping Yao , Hongliang Tian , Min Wu
{"title":"Equivalent-input-disturbance based rotating control of drill-string in compound directional drilling process subject to coal seam variation","authors":"Wangnian Li , Shipeng Chen , Chengda Lu , Lingfeng Mu , Aoxue Yang , Youzhen Zhang , Haitao Song , Ningping Yao , Hongliang Tian , Min Wu","doi":"10.1016/j.isatra.2025.02.011","DOIUrl":null,"url":null,"abstract":"<div><div>Coal seam variations in coal mine drilling can cause fluctuations in feed speed and rotational speed of the rotary head (ROR), reducing the performance of compound directional drilling control systems. This paper addresses these issues by considering the change in intrinsic specific energy caused by coal seam variations as a disturbance. An equivalent-input-disturbance (EID) based control system is designed to mitigate these effects. An axial-torsional coupled dynamic model of the drill-string system is developed, and EID and improved EID estimators are used to suppress the impact of bit–rock interaction. Field data from a gas extraction borehole is used to validate the effectiveness of the drill-string dynamics model. Simulation results demonstrate that the proposed control system surpasses the PI control system, the disturbance observer-based control system, and the active disturbance rejection control system. Specifically, the feed speed overshoot is reduced from 73%, 47%, and 46% to 33%, with settling time reduced from 3 s, 1.7 s, and 1.8 s to 1.5 s. The ROR overshoot decreases from 54%, 49%, and 43% to 11%, and settling time from 4.7 s, 3.1 s, and 2.8 s to 2.3 s. Additionally, feed speed and ROR fluctuations are minimized to 0.2% and 0.1%, respectively, demonstrating superior performance.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"159 ","pages":"Pages 352-363"},"PeriodicalIF":6.3000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISA transactions","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0019057825001016","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Coal seam variations in coal mine drilling can cause fluctuations in feed speed and rotational speed of the rotary head (ROR), reducing the performance of compound directional drilling control systems. This paper addresses these issues by considering the change in intrinsic specific energy caused by coal seam variations as a disturbance. An equivalent-input-disturbance (EID) based control system is designed to mitigate these effects. An axial-torsional coupled dynamic model of the drill-string system is developed, and EID and improved EID estimators are used to suppress the impact of bit–rock interaction. Field data from a gas extraction borehole is used to validate the effectiveness of the drill-string dynamics model. Simulation results demonstrate that the proposed control system surpasses the PI control system, the disturbance observer-based control system, and the active disturbance rejection control system. Specifically, the feed speed overshoot is reduced from 73%, 47%, and 46% to 33%, with settling time reduced from 3 s, 1.7 s, and 1.8 s to 1.5 s. The ROR overshoot decreases from 54%, 49%, and 43% to 11%, and settling time from 4.7 s, 3.1 s, and 2.8 s to 2.3 s. Additionally, feed speed and ROR fluctuations are minimized to 0.2% and 0.1%, respectively, demonstrating superior performance.
期刊介绍:
ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.